Partially covered face identification method based on data enhancement

A face recognition and data technology, applied in the field of face recognition, can solve the problems of increased difficulty in face recognition, low recognition accuracy, loss of feature information, etc., to improve follow-up calculation efficiency, high throughput, improve accuracy and efficiency effect

Active Publication Date: 2017-08-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 56 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The present invention provides a partially occluded face recognition method based on data enhancement, which solves the problems in the existing occluded face recognition methods that the feature information is lost due to occlusion

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Partially covered face identification method based on data enhancement
  • Partially covered face identification method based on data enhancement
  • Partially covered face identification method based on data enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention provides a partially occluded face recognition method based on data enhancement, which solves the problems in the existing occluded face recognition methods that the feature information is lost due to occlusion, the difficulty of face recognition increases, the recognition accuracy is low, and the recognition speed is slow It has achieved the technical effect of improving the accuracy and efficiency of occluded face recognition.

[0050] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, under the condition of not conflicting with each other, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0051] In the following description, many specific details are set forth i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a partially covered face identification method based on data enhancement. By means of the artificial intelligence depth convolution neural network, the face alignment, facial detection, face feature extraction, and face matching are carried out for many times; through the principle of data enhancement, the pre-judgment of the covering type of the object covering a standard face, and the pre-judgment of the identity of the covered face, the two pre-judgment results are integrated to carry out the data enhancement, a covered face database is reconstructed by taking the standard face as the basis, and at the end, the original covered face and the reconstructed covered face are subjected to matching. The method solves the technical problems that the existing covered face identification method is easy to loss characteristic information due to the covering, is difficult to carry out the face identification, and low in identification accuracy, thereby achieving the technical effects of improving the face identification accuracy and efficiency.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a partially occluded face recognition method based on data enhancement. Background technique [0002] As an important machine vision technology, face recognition plays a major role in the field of artificial intelligence. In the actual process of face image processing, the occlusion of the face image, especially the occlusion of important features (such as eye occlusion caused by sunglasses, mouth occlusion caused by masks) occurs frequently. It is difficult to extract true and accurate feature descriptions from occluded face areas. The inaccuracy of feature descriptions greatly increases the difficulty of face recognition technology. If traditional machine vision recognition methods are used, the recognition accuracy will inevitably drop significantly. Face recognition technology needs to face technical difficulties such as occlusion, lighting, expression, post...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/165G06V40/171G06N3/045
Inventor 段翰聪文慧闵革勇赵子天贾洁谭春强陈超
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products